TY - GEN
T1 - Optimizing the coefficients of the leading terms of the Born Series: FWI+MVA+more
AU - Alkhalifah, Tariq Ali
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This is a group effort the includes the whole Seismic wave analysis group at KAUST. To identify the contributors please visit our website: http://swag.kaust.edu.sa. I also thank Chevron for the SEG2014 Gulf of Mexico (GOM) blind data set.
PY - 2017/5/26
Y1 - 2017/5/26
N2 - The scattering series theoretically utilizes a model perturbation framework to explain the difference between the seismic modeled data corresponding to a background model and those measured in the field corresponding to the real Earth. These perturbations include short wavelength features like those predicted by full waveform inversion (FWI) gradients, and long wavelength features often constrained by migration velocity analysis (MVA) objectives. The Born series, however, is not a convergent series. If the perturbations are large, we probably will not be able to explain the data difference. Thus, using the leading terms of the Born in an iterative process, in which they are scaled properly, allows us to avoid such limitations and update the short and long wavelength components of the velocity model. In fact, the FWI update is manifested in the first term of the Born series, and the MVA update is represented by the transmission (first Fresnel zone) part of the second term. In this case, FWI and MVA are code names for dividing the optimized update to reflectivity based portions and those adequate for the background, respectively. Examples on synthetic and real data demonstrate this logic.
AB - The scattering series theoretically utilizes a model perturbation framework to explain the difference between the seismic modeled data corresponding to a background model and those measured in the field corresponding to the real Earth. These perturbations include short wavelength features like those predicted by full waveform inversion (FWI) gradients, and long wavelength features often constrained by migration velocity analysis (MVA) objectives. The Born series, however, is not a convergent series. If the perturbations are large, we probably will not be able to explain the data difference. Thus, using the leading terms of the Born in an iterative process, in which they are scaled properly, allows us to avoid such limitations and update the short and long wavelength components of the velocity model. In fact, the FWI update is manifested in the first term of the Born series, and the MVA update is represented by the transmission (first Fresnel zone) part of the second term. In this case, FWI and MVA are code names for dividing the optimized update to reflectivity based portions and those adequate for the background, respectively. Examples on synthetic and real data demonstrate this logic.
UR - http://hdl.handle.net/10754/626977
UR - http://www.earthdoc.org/publication/publicationdetails/?publication=89330
UR - http://www.scopus.com/inward/record.url?scp=85085406814&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.201701712
DO - 10.3997/2214-4609.201701712
M3 - Conference contribution
SN - 9789462822191
BT - 79th EAGE Conference and Exhibition 2017 - Workshops
PB - EAGE Publications
ER -